December is the time when you sit back and think about the accomplishments of the past year. For us programmers, this is often looking at the open source libraries that were either released this year (or close enough), or whose popularity has recently boomed because they are simply great tools to solve a particular problem. For the past two years, we have done this in the form of a blog post with what we consider to be some of the best work that has been done in the Python community. Now, as we are wrapping up 2017, we had to do the same. This time, the list comes with a Machine Learning (ML) flavor.

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